Developers Corner

Microsoft’s New BERT Model Surpasses Human Performance on SuperGLUE Benchmark

Researchers at Microsoft Dynamics 365 AI and Microsoft Research have introduced a new BERT model…

Turbulence Modelling Based On An Approach Of Artificial Neural Network

Presently, one of the active ongoing challenging problems always prevails to the engineers and researchers is…

JupyterLab 3.0 Released: All The Major Features & Updates

Recently, one of the contributors within the Jupyter ecosystem has announced the release of JupyterLab…

How To Colorize Your Old Image & Videos using DeOldify?

DeOldify is a Black and White image Colorizing library created by Jason Antic. Mainly, this…

Hands-on Guide to OpenAI’s CLIP – Connecting Text To Images

OpenAI has designed its new neural network architecture CLIP (Contrastive Language-Image Pretraining) for Learning Transferable Visual Models From Natural Language Supervision.

Microsoft Releases Unadversarial Examples: Designing Objects for Robust Vision – A Complete Hands-On Guide

In a recent work by Microsoft Research, a new framework is introduced which can address in the case of unforeseen corruptions or distribution shifts of data models to create “unadversarial objects,” inputs that are optimized particularly for more robust model performance.

Ultimate Guide To Loss functions In Tensorflow Keras API With Python Implementation

We have already covered the PyTorch loss functions implementations in our previous article, now we…

DALLE OpenAI

OpenAI’s DALL.E Can Create Images From Text Prompts

OpenAI has released a 12-billion parameter version of GPT-3, called DALL.E, to generate images from…

Unsupervised Learning For Predictive Maintenance Using Auto-Encoders

Before we dive into the machine learning approach to detect and diagnose anomalies, we will…

Hands-On Guide To Adversarial Robustness Toolbox (ART): Protect Your Neural Networks Against Hacking

The Adversarial Robustness Toolbox(ART) is a Python library which is one of the complete resources providing developers and researchers for evaluating the robustness of deep neural networks against adversarial attacks